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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
    11. 14253
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    Explanations

    phrases indicating the absence or lack of something

    oai_token-act-pair · gpt-3.5-turbo

    expressions indicating absence or lack

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    asts
    -0.70
    seless
    -0.69
    asting
    -0.68
     Reef
    -0.66
    quel
    -0.64
     mash
    -0.63
    ULT
    -0.62
    isations
    -0.61
    absor
    -0.59
    urated
    -0.58
    POSITIVE LOGITS
     else
    1.30
    abouts
    1.12
     Else
    0.98
    Else
    0.98
    upon
    0.85
    else
    0.83
     Near
    0.80
    lihood
    0.79
    where
    0.79
    near
    0.73
    Activations Density 0.023%

    No Known Activations